Download from Button ByteDance. The model supports multi-task learning and can handle multiple natural language processing tasks at the same time, such as text classification, named entity recognition, etc., so as to more comprehensively understand and process text information. Come and experience ByteDance’s new artificial intelligence.
The workflow function of Button can be used to process task flows with complex logic and high stability requirements. Kouzi provides a large number of flexible and combinable nodes, including large language model LLM, custom code, judgment logic, etc. No matter whether you have programming foundation or not, you can quickly build a workflow by dragging and dropping, for example
Create a workflow to collect movie reviews and quickly check the reviews and ratings of the latest movie.
Create a workflow for writing industry research reports and let the Bot write a 20-page report.
ByteDance's large model has a huge parameter scale and is trained through large-scale pre-training data to improve the model's generalization ability and performance.
Bytedance's large model adopts the transfer learning method, pre-training on large-scale general data, and then fine-tuning on specific tasks to adapt to the needs of different fields and applications.
In order to meet the real-time performance requirements of ByteDance products, large models are optimized during the inference stage to ensure that user requests can be responded to quickly and accurately in actual applications.